首页|Simultaneous state and unknown input set‐valued observers for quadratically constrained nonlinear dynamical systems
Simultaneous state and unknown input set‐valued observers for quadratically constrained nonlinear dynamical systems
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NSTL
Wiley
Abstract In this article, we propose fixed‐order set‐valued (in the form of ?2$$ {\ell}_2 $$‐norm hyperballs) observers for several classes of quadratically constrained nonlinear dynamical systems with unknown input signals that simultaneously/jointly find bounded hyperballs of states and unknown inputs that include the true states and inputs. Necessary and sufficient conditions in the form of linear matrix inequalities (LMIs) for the stability (in the sense of quadratic stability) of the proposed observers are derived for (?,γ$$ \mathcal{M},\gamma $$)‐quadratically constrained ((?,γ$$ \mathcal{M},\gamma $$)‐QC) systems, which includes several classes of nonlinear systems: (I) Lipschitz continuous, (II) (??,γ)‐QC* and (III) linear parameter‐varying (LPV) systems. This new quadratic constraint property is at least as general as the incremental quadratic constraint property for nonlinear systems and is proven in the paper to embody a broad range of nonlinearities. In addition, we design the optimal ?∞$$ {\mathscr{H}}_{\infty } $$ observer among those that satisfy the quadratic stability conditions and show that the design results in uniformly bounded‐input bounded‐state (UBIBS) estimate radii/error dynamics and uniformly bounded sequences of the estimate radii. Furthermore, we provide closed‐form upper bound sequences for the estimate radii and sufficient conditions for their convergence to steady state. Finally, the effectiveness of the proposed set‐valued observers is demonstrated through illustrative examples, where we compare the performance of our observers with some existing observers.
nonlinear systemsresilient estimationset‐valued estimationstate and input estimation
NSTL
Wiley
